Generated by Cython 3.0.5

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Click on a line that starts with a "+" to see the C code that Cython generated for it.

Raw output: clm.c

+0001: # cython: c_string_type=unicode
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 0002: # cython: c_string_encoding=utf8
 0003: 
+0004: import ctypes
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 0005: #from functools import singledispatch, partial
+0006: import functools
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+0007: import math
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+0008: import random
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+0009: import subprocess
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+0011: import time
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+0012: import types
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 0013: import cython
 0014: from cython.cimports.cpython.mem import PyMem_Malloc, PyMem_Realloc, PyMem_Free
 0015: from cython cimport view
+0016: import numpy as np
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 0017: cimport numpy as np
+0018: import numpy.typing as npt
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 0019: cimport pysndlib.cclm as cclm
 0020: cimport pysndlib.csndlib as csndlib
+0021: from pysndlib.sndlib import Sample, Header
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+0022: import sys
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 0024: cimport pysndlib.clm
 0025: 
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 0027: 
 0028: # # --------------- clm enums ---------------- #
 0029: # cpdef enum Interp:
 0030: #     """
 0031: #     various interpolation types
 0032: #     """
 0033: #     NONE, LINEAR,SINUSOIDAL, ALL_PASS, LAGRANGE, BEZIER, HERMITE
 0034: 
 0035: # cpdef enum Window:
 0036: #     """
 0037: #     many useful windows
 0038: #     """
 0039: #     RECTANGULAR, HANN, WELCH, PARZEN, BARTLETT, HAMMING, BLACKMAN2, BLACKMAN3, BLACKMAN4, EXPONENTIAL, RIEMANN, KAISER, CAUCHY, POISSON, GAUSSIAN, TUKEY, DOLPH_CHEBYSHEV, HANN_POISSON, CONNES, SAMARAKI, ULTRASPHERICAL, BARTLETT_HANN, BOHMAN, FLAT_TOP, BLACKMAN5, BLACKMAN6, BLACKMAN7, BLACKMAN8, BLACKMAN9, BLACKMAN10, RV2, RV3, RV4, MLT_SINE, PAPOULIS, DPSS, SINC,
 0040: # 
 0041: # cpdef enum Spectrum:
 0042: #     """
 0043: #     types of normalizations when using the spectrum function. The results are in dB if IN_DB, or linear and normalized to 1.0 NORMALIZED, or linear unnormalized RAW
 0044: #     """
 0045: #     IN_DB, NORMALIZED, RAW
 0046: #     
 0047: # cpdef enum Polynomial:
 0048: #     """
 0049: #     used for polynomial based gens 
 0050: #     """
 0051: #     EITHER_KIND, FIRST_KIND, SECOND_KIND, BOTH_KINDS
 0052: 
 0053: 
 0054: 
 0055: # --------------- function types for ctypes ---------------- #
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+0155: csndlib.mus_error_set_handler(<csndlib.mus_error_handler_t *>clm_error_handler)
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 0156: 
 0157: 
+0158: cdef bint is_simple_filter(gen: mus_any):
static int __pyx_f_8pysndlib_3clm_is_simple_filter(struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_gen) {
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}
+0159:     return cclm.mus_is_one_zero(gen._ptr) or cclm.mus_is_one_pole(gen._ptr) or cclm.mus_is_two_zero(gen._ptr) or cclm.mus_is_two_pole(gen._ptr)
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    __pyx_t_1 = __pyx_t_2;
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 0160: 
 0161: 
 0162: # cdef bint is_poly(gen: mus_any):
 0163: #     return cclm.mus_is_polywave(gen._ptr) or cclm.mus_is_polyshape(gen._ptr) 
 0164: 
 0165: # todo add mus_set_xcoeff and mus_set_ycoeff
 0166: 
 0167: # --------------- extension types ---------------- #
 0168: 
+0169: cdef class mus_any:
struct __pyx_vtabstruct_8pysndlib_3clm_mus_any {
  struct __pyx_obj_8pysndlib_3clm_mus_any *(*from_ptr)(mus_any *, struct __pyx_opt_args_8pysndlib_3clm_7mus_any_from_ptr *__pyx_optional_args);
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 0170:     """
 0171:     a wrapper class for mus_any pointers in c
 0172:     
 0173:     instances of this class have the following properties, which may be 
 0174:     used if supported by the type of generator used to make the instance:
 0175:     
 0176:     
 0177:     """
 0178: # in pxd definition    
 0179: # cdef cclm.mus_any *_ptr
 0180: #     cdef bint ptr_owner
 0181: #     cdef cclm.input_cb _inputcallback
 0182: #     cdef cclm.edit_cb _editcallback
 0183: #     cdef cclm.analyze_cb _analyzecallback
 0184: #     cdef cclm.synthesize_cb _synthesizecallback
 0185: #     cdef list _cache
 0186: #     cdef cclm.mus_float_t* _data_ptr
 0187: #     cdef np.ndarray _data
 0188: #     cdef cclm.mus_float_t* _xcoeffs_ptr
 0189: #     cdef np.ndarray _xcoeffs
 0190: #     cdef cclm.mus_float_t* _ycoeffs_ptr
 0191: #     cdef np.ndarray _ycoeffs
 0192: #     cdef cclm.mus_float_t* _pv_amp_increments_ptr
 0193: #     cdef np.ndarray _pv_amp_increments
 0194: #     cdef cclm.mus_float_t* _pv_amps_ptr
 0195: #     cdef np.ndarray _pv_amps
 0196: #     cdef cclm.mus_float_t* _pv_freqs_ptr
 0197: #     cdef np.ndarray _pv_freqs
 0198: #     cdef cclm.mus_float_t* _pv_phases_ptr
 0199: #     cdef np.ndarray _pv_phases
 0200: #     cdef cclm.mus_float_t* _pv_phase_increments_ptr
 0201: #     cdef np.ndarray _pv_phase_increments
 0202: #     
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 1142:     """
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 1307: 
 1308: # changed 11-26-23 to not modify inplace
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 1978: 
 1979: ## Changing to avoid None overhead. Think it slows thing s down even if mus_oscil_unmodulated can be used.
+1980: cpdef cython.double oscil(mus_any gen, cython.double fm=0.0, cython.double pm=0.0):
static PyObject *__pyx_pw_8pysndlib_3clm_141oscil(PyObject *__pyx_self, 
#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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); /*proto*/
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 1981:     """
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 1984:     :param gen: oscil gen
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 1993:     """
 1994:     return next sample from oscil gen. no modulation
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 1997:     :rtype: float
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 2001: 
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 2019:     :param phases: list or np.ndarray of initial phases in radians
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 2076:     """
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 2107: 
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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 2212:     """
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struct __pyx_opt_args_8pysndlib_3clm_make_table_lookup {
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  double initial_phase;
  PyObject *wave;
  int size;
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};
 2233:     """
 2234:     return a new table_lookup generator. the default table size is 512; use size to set some other
 2235:     size, or pass your own list/array as the 'wave'.
 2236:     
 2237:     :param frequency: frequency of gen \in hz
 2238:     :param initial_phase: initial phase of gen \in radians
 2239:     :param wave: np.ndarray if provided is waveform
 2240:     :param size: if no wave provided, this will allocate a table of size 
 2241:     :param interp_type: type of interpolation used
 2242:     :return: table_lookup gen
 2243:     :rtype: mus_any
 2244:     """
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 2250: 
+2251:     if isinstance(wave, list):
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+2254:     check_ndim(wave)
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 2257: 
 2258: 
 2259:     #print(frequency, initial_phase, wave, size, interp_type)
+2260:     gen =  mus_any.from_ptr(cclm.mus_make_table_lookup(frequency, initial_phase, &wave_view[0], size, <cclm.mus_interp_t>interp_type))
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 2263: 
+2264: cpdef cython.double table_lookup(mus_any gen, cython.double fm =0.0):
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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 2265:     """
 2266:     return next sample from table_lookup generator.
 2267:     
 2268:     :param gen: table_lookup gen
 2269:     :param fm: fm input
 2270:     :rtype: float
 2271:     """
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 2273: 
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 2379:     """
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+2444: cpdef cython.double polyshape(mus_any gen, cython.double index=1.0, cython.double fm=0.0):
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 2445:     """
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 2459:     """
 2460:     next sample of polynomial-based waveshaper. unmodulated
 2461:     
 2462:     :param gen: polyshape gen
 2463:     :param index: fm index
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 2467: 
 2468: 
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 2494: 
+2495: cpdef cython.double triangle_wave(mus_any gen, cython.double fm=0.0):
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 2496:     """
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 2504: 
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 2575:     """
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 2594: # ---------------- pulse-train ---------------- #        
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 2609: 
+2610: cpdef cython.double pulse_train(mus_any gen, cython.double fm=0.0):
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 3134:     """
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 3168:         else:
+3169:             raise KeyError(f'Filter needs values for a0, b1, b2')
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 3171:     else:
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 3174:         else:
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 3177: 
 3178: # 
 3179: # cpdef mus_any make_two_pole(cython.double a0, cython.double b1, b2=None):
 3180: #     """
 3181: #     return a new two_pole filter: y(n) = a0 x(n) - b1 y(n-1) - b2 y(n-2).
 3182: #     if two values they are frequency and radius
 3183: #     if three they are filter coefficients 'a0', 'b1', 'b2'
 3184: #     """     
 3185: # 
 3186: #     if b2 is None:
 3187: #         return mus_any.from_ptr(cclm.mus_make_two_pole_from_frequency_and_radius(a0, b1))
 3188: #     else:
 3189: #         return mus_any.from_ptr(cclm.mus_make_two_pole(a0, b1, b2))
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 3191: 
 3192: 
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 3194:     """
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 3200:     
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 3205:     """
 3206:     returns True if gen is a two_pole.
 3207:     
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 3210:     """
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 3212: 
 3213: # make def for *args. are there other ways
 3214: 
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 3216:     """
 3217:     return a new two_zero filter: y(n) = a0 x(n) + a1 x(n-1) + a2 x(n-2).
 3218:     
 3219:     :param frequency: Center frequency \in Hz
 3220:     :param radius: Radius of filter. Refers to the unit circle, so it should be between 0.0 and (less than) 1.0. 
 3221:     :param kwargs: If frequency and radius not provided, these should be keyword arguments 'a0', 'a1', 'a2'
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+3228:             return mus_any.from_ptr(cclm.mus_make_two_zero(kwargs.get('a0'), kwargs.get('a1'), kwargs.get('a2')))
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 3229:         else:
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 3237: 
 3238: # cpdef mus_any make_two_zero(cython.double a0, cython.double a1, a2=None):
 3239: #     """
 3240: #     return a new two_zero filter: y(n) = a0 x(n) + a1 x(n-1) + a2 x(n-2).
 3241: #     if two values they are frequency and radius
 3242: #     if three they are filter coefficients 'a0', 'b1', 'b2'
 3243: #     """
 3244: #     
 3245: #     if a2 is None:
 3246: #         return mus_any.from_ptr(cclm.mus_make_two_zero_from_frequency_and_radius(a0, a1))
 3247: #     else:
 3248: #         return mus_any.from_ptr(cclm.mus_make_two_zero(a0, a1, a2))
 3249: 
 3250: 
 3251: 
+3252: cpdef cython.double two_zero(mus_any gen, cython.double insig):
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 3620: 
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 3732: 
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 3778:     """
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 3799:                 
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 4087:     """
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 4356:     """
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+5157:         res = mus_any.from_ptr(cclm.mus_make_locsig(degree, distance, reverb, channels, NULL, reverb_channels, NULL, interp_type))
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+5158:         cclm.mus_locsig_set_detour(res._ptr, <cclm.detour_cb>locsig_detour_callback_func)
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 5162:     else:
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  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_fmosc2 = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_fmosc3 = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_ampf = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_indf1 = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_indf2 = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_indf3 = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_frqf = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_pervib = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_ranvib = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_fm_noi = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_ind_noi = 0;
  struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_amp_noi = 0;
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      switch (__pyx_nargs) {
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        if (likely((values[0] = __Pyx_GetKwValue_FASTCALL(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_beg)) != 0)) {
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+5641:         anoi: cython.double  = env(ampf) * (1.0 + rand_interp(amp_noi))
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+5642:         locsig(loc, i, anoi * oscil(carrier,
    /* "pysndlib/clm.pyx":5642
 *         inoi: cython.double = 1.0 + rand_interp(ind_noi)
 *         anoi: cython.double  = env(ampf) * (1.0 + rand_interp(amp_noi))
 *         locsig(loc, i, anoi * oscil(carrier,             # <<<<<<<<<<<<<<
 *                         vib +
 *                         inoi *
 */
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  }
 5643:                         vib +
 5644:                         inoi *
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 5648: 
 5649: 
 5650: # cpdef  np.ndarray fill_array(arr:  npt.NDArray[np.float64], gen: mus_any, arg1: cython.double=0.0, arg2: cython.double=0.0):
 5651: #     check_ndim(arr)
 5652: #     arr_length = len(arr)
 5653: #     cdef i = 0
 5654: #     for i in range(arr_length):
 5655: #         arr[i] = cclm.mus_apply(gen._ptr, arg1,arg2)
 5656: 
 5657: 
 5658: # @cython.ccall
 5659: # def ppadd(n: cython.int) -> cython.int:
 5660: #     i: cython.int = 0
 5661: #     k: cython.int = 0
 5662: #     for i in range(n):
 5663: #         k += 1
 5664: #     return k
 5665: 
 5666: 
 5667: # cdef nbd = [
 5668: #     [1.0,             0.0,               0.0425,             0.3,    1.0               ], # hum (-2 octave)
 5669: #     [1.000710732054,  0.0,               0.14083333333333,   0.3,    1.0               ],
 5670: #     [1.6958066808813, 0.0,               0.25416666666667,   0.3,    0.46153846153846  ], # prime (-1 octave)
 5671: #     [1.6966595593461, 0.0,               0.70416666666667,   0.3,    0.46153846153846  ], # tierce
 5672: #     [2.2359630419332, 0.0,               0.79166666666667,   0.0,    0.17142857142857  ], # quint
 5673: #     [2.9168443496802, 0.083333333333333, 0.031666666666667,  0.25,   0.08              ], # nominal
 5674: #     [3.7029140014215, 1.0,               0.25,               0.1,    0.34285714285714  ],
 5675: #     [4.3918123667377, 0.0,               0.29166666666667,   0.15,   0.1               ],
 5676: #     [4.3951670220327, 0.0,               0.15,               0.15,   0.066666666666667 ],
 5677: #     [4.680881307747,  0.14166666666667,  0.041666666666667,  0.0,    0.06              ],
 5678: #     [5.455579246624,  0.29166666666667,  0.10833333333333,   0.5,    0.12              ],
 5679: #     [6.1961620469083, 0.083333333333333, 0.025,              0.3,    0.12              ],
 5680: #     [7.0717839374556, 0.0,               0.10833333333333,   0.05,   0.12              ],
 5681: #     [7.3546552949538, 0.0,               0.19166666666667,   0.0,    0.048             ],
 5682: #     [7.407249466951,  0.15,              0.061666666666667,  0.11,   0.13333333333333  ],
 5683: #     [7.4103766879886, 0.058333333333333, 0.025,              0.11,   0.13333333333333  ],
 5684: #     [9.4015636105188, 0.0,               0.045833333333333,  0.0,    0.034285714285714 ],
 5685: #     [9.498223169865,  0.18333333333333,  0.15,               0.25,   0.024             ],
 5686: #     [11.674484719261, 0.05,              0.0083333333333333, 0.5,    0.08              ],
 5687: #     [13.384506041222, 0.010416666666667, 0.00625,            0.05,   0.024             ],
 5688: #     [13.890547263682, 0.021666666666667, 0.021666666666667,  0.1,    0.08              ],
 5689: #     [16.136460554371, 0.0125,            0.0041666666666667, 0.07,   0.1               ]
 5690: # ]
 5691: # 
 5692: # cpdef bell(beg:cython.double, dur: cython.double=8, freq: cython.double=351.75, amp: cython.double=0.3, deg: cython.double=45., dist: cython.double=0.0, rev:cython.double=0.0):
 5693: #     cdef cython.int start = seconds2samples(beg)
 5694: #     cdef cython.int end   = start + seconds2samples(dur)
 5695: #     cdef mus_any location = make_locsig(degree=deg, distance=dist, reverb=rev)
 5696: # 
 5697: #     oscils_freqs_radians, envarray = [], []
 5698: # 
 5699: #     for b in nbd:
 5700: #         hertz = round(b[0] * freq, 3)
 5701: #         splashamp = round(b[1] * amp, 3)
 5702: #         tailamp = round(b[2] * amp, 3)
 5703: #         attack = round( b[3] if b[3] else .001, 3)
 5704: #         decay = round(b[4] * dur, 3)
 5705: #         # convert sc's envelope format [yyy][xxx] to sndlib's [xyxyxy]
 5706: #         # Env.new([splashamp, tailamp*(2/3), tailamp, 0], [attack*(1/4), attack*(3/4), decay], 'sin');
 5707: #         #        X                               Y
 5708: #         envl =  [0,                              splashamp,  
 5709: #                 attack*(1/4),                    tailamp*(2/3), 
 5710: #                 attack*(1/4)+attack*(3/4),       tailamp,
 5711: #                 attack*(1/4)+attack*(3/4)+decay, 0]
 5712: #         #print("SC:", [[round(attack*(1/4), 3) , round(attack*(3/4), 3), round(decay, 3)],
 5713: #         #                  [round(splashamp, 3), round(tailamp*(2/3), 3), round(tailamp, 3), 0]])
 5714: #         #print("PY:", envl)
 5715: #         #plotenv(envl)
 5716: #         
 5717: #         envarray.append(make_env(envl, scaler=amp, duration=dur))  
 5718: #         
 5719: #         #freqs in radians
 5720: #         oscils_freqs_radians.append(hz2radians(hertz) )
 5721: # 
 5722: #     # use oscil bank instead of python array of oscils    
 5723: #     # starting phase. i am going to change make_oscil_bank so if you want all the values to just start at a 
 5724: #     # certain phase you can just pass a scaler. i meant it to work that way but screwed it up
 5725: #     
 5726: #     cdef cython.double [:] starting_phases_ndarray = np.zeros(len(oscils_freqs_radians))
 5727: #     # if an numpy array is used here the oscil_bank holds on to the array and any changes to it will
 5728: #     # impact the underlying processing. 
 5729: #     cdef cython.double [:] amps_ndarray = np.zeros(len(oscils_freqs_radians))
 5730: #     cdef mus_any oscils = make_oscil_bank(oscils_freqs_radians, starting_phases_ndarray, amps_ndarray)
 5731: # 
 5732: #     # don't know if these save much to compute this once
 5733: #     osc_bank_len = len(oscils_freqs_radians)
 5734: #     
 5735: #    # cdef int i = 0
 5736: #     
 5737: #     for cdef int i in range(start, end):
 5738: #         for j in range(osc_bank_len):
 5739: #             amps_ndarray[j] = env(envarray[j])
 5740: #         locsig(location, i, oscil_bank(oscils))
 5741: #         
 5742: #         
 5743: #         
 5744: #         
 5745: #         
 5746: #         
 5747: 
 5748: 
 5749: 
 5750: 
 5751: #########################################
 5752: # basic file reading/writing to/from nympy arrays
 5753: # note all of this assumes numpy dtype is np.double
 5754: # also assumes shape is (chan, length)
 5755: # a mono file that is 8000 samples long should
 5756: # be a numpy array created with something like
 5757: # arr = np.zeroes((1,8000), dtype=np.double)
 5758: # librosa follows this convention
 5759: #  todo : look at allowing something like np.zeroes((8000), dtype=np.double)
 5760: # to just be treated as mono sound buffer 
 5761: # the python soundfile library does this differently 
 5762: # and would use 
 5763: # arr = np.zeros((8000,1), dtype=np.double))
 5764: # this seems less intuitive to me 
 5765: # very issue to translate with simple np.transpose()
 5766: 
 5767: 
 5768: # cpdef sndinfo(filename):
 5769: #     """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
 5770: #     channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
 5771: #     date = csndlib.mus_sound_write_date(filename)
 5772: #     srate = csndlib.mus_sound_srate(filename)
 5773: #     chans = csndlib.mus_sound_chans(filename)
 5774: #     samples = csndlib.mus_sound_samples(filename)
 5775: #     comment = csndlib.mus_sound_comment(filename) 
 5776: #     length = samples / (chans * srate)
 5777: # 
 5778: #     header_type = header(mus_sound_header_type(filename))
 5779: #     sample_type = sample(mus_sound_sample_type(filename))
 5780: #     
 5781: #     loop_info = mus_sound_loop_info(filename)
 5782: #     if loop_info:
 5783: #         loop_modes = [loop_info[6], loop_info[7]]
 5784: #         loop_starts = [loop_info[0], loop_info[2]]
 5785: #         loop_ends = [loop_info[1], loop_info[3]]
 5786: #         base_note = loop_info[4]
 5787: #         base_detune = loop_info[5]
 5788: #     
 5789: #         loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0], 
 5790: #                     'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
 5791: #                     'base_note' : base_note, 'base_detune' : base_detune, 
 5792: #                     'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
 5793: #     
 5794: #     info = {'date' : time.localtime(date), 'srate' : srate, 'chans' : chans, 'samples' : samples,
 5795: #             'comment' : comment, 'length' : length, 'header_type' : header_type, 'sample_type' : sample_type,
 5796: #             'loop_info' : loop_info}
 5797: #     return info
 5798: 
 5799: # def sound_loop_info(filename):
 5800: #     """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
 5801: #     channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
 5802: #     
 5803: #     loop_info = sndlib.mus_sound_loop_info(filename)
 5804: #     if loop_info:
 5805: #         loop_modes = [loop_info[6], loop_info[7]]
 5806: #         loop_starts = [loop_info[0], loop_info[2]]
 5807: #         loop_ends = [loop_info[1], loop_info[3]]
 5808: #         base_note = loop_info[4]
 5809: #         base_detune = loop_info[5]
 5810: #     
 5811: #         loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0], 
 5812: #                     'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
 5813: #                     'base_note' : base_note, 'base_detune' : base_detune, 
 5814: #                     'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
 5815: #     return info
 5816: #     
 5817: # cpdef np.ndarray file2array(filename: str, channel: Optional[int]=0, beg: Optional[int]=None, dur: Optional[int]=None):
 5818: #     """
 5819: #     return an ndarray with samples from file
 5820: #     """
 5821: #     length = dur or csndlib.mus_sound_framples(filename)
 5822: #     chans = csndlib.mus_sound_chans(filename)
 5823: #     srate = csndlib.mus_sound_srate(filename)
 5824: #     bg = beg or 0
 5825: #     out = np.zeros(length, dtype=np.double)
 5826: #     
 5827: #     cdef double [:] out_view = None
 5828: #     out_view = out
 5829: # 
 5830: #     csndlib.mus_file_to_array(filename,channel, bg, length, &out_view[0])
 5831: #     return out
 5832: #     
 5833: # def channel2array(filename: str, channel: Optional[int]=0, beg: Optional[int]=None, dur: Optional[int]=None): 
 5834: #     length = dur or mus_sound_framples(filename)
 5835: #     srate = mus_sound_srate(filename)
 5836: #     bg = beg or 0
 5837: #     out = np.zeros((1, length), dtype=np.double)
 5838: #     mus_file_to_array(filename,channel, bg, length, out[0].ctypes.data_as(ctypes.pointer(ctypes.c_double)))
 5839: #     return out
 5840: # 
 5841: # def calc_length(start, dur):
 5842: #     st = seconds2samples(start)
 5843: #     nd = seconds2samples(start+dur)
 5844: #     return st, nd
 5845: #